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data/v2
NousResearch/Llama-2-7b-hf
32,000
uint16
8,200,000,000
6,954,441
2,048
4,003,906
1,050,000,000
512,695
1
HuggingFaceFW/fineweb-edu sample-10BT (stream order)
{ "tokens_u16.bin": "e776fde67843376f4743b8e070a2af9145315b515b262e54003e5e6da38f2afa", "tokens_u16_doc_offsets.npy": "ccc0c10b020e9f69e63cf20e0a0f79c7358f25b03d148e91dbe33a196d29e92b", "seq_permutation.npy": "35960673eb0db5bdd2e6f51138d717c97963f0376ca679ae22889d35af416399", "main_heldout.bin": "23887c3297bff9...
2,358.5

Pre-tokenised language-model training corpus, v3

A fixed, byte-verified training corpus for small-scale language-model scaling experiments: 8,200,000,000 tokens of FineWeb-Edu sample-10BT in stream order, tokenised with the Llama-2 tokenizer (vocabulary 32,000, uint16, no BOS/EOS, documents concatenated), plus three held-out evaluation slices. Sequences are 2,048 tokens; seq_permutation.npy fixes the training order so that a run on the first N sequences is a byte-identical prefix of any longer run.

file content
tokens_u16.bin 8.2e9 training tokens (uint16)
tokens_u16_doc_offsets.npy document boundaries
seq_permutation.npy fixed order of the 4,003,906 sequences
main_heldout.bin in-domain held-out slice
xd_lang.bin (+offsets) 10M tokens of German web text (FineWeb-2 deu_Latn), cross-domain probe
xd_code.bin (+offsets) 10M tokens of Python (the-stack-smol-xs, codeparrot-clean-valid), cross-domain probe
artifact_meta_v3.json manifest with the SHA-256 of every file

Sources and licences: FineWeb-Edu and FineWeb-2 (ODC-By 1.0); the-stack-smol-xs and codeparrot-clean-valid (permissively licensed source files; see the upstream cards). This repository redistributes token ids only.

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